"The view that machines cannot give rise to surprises is due, I believe, to a fallacy to which philosophers and mathematicians are particularly subject. This is the assumption that as soon as a fact is presented to a mind all consequences of that fact spring into the mind simultaneously with it. It is a very useful assumption under many circumstances, but one too easily forgets that it is false." Alan M. Turing, Computing machinery and intelligence, Mind 1950

one can even wonder if pricing as a market mechanism should be based not just on perceived value via OwnConcepts#gToM and scarcity but rather via complexity theory or at least, taking it into account as a refinement

the difficulty to encode rules is probably related to the power and complexity of the rule engine, i.e. one might have to be able to simulate the rule engine in order to fully understand the implications of adding yet another rule

"Finally we will explore the limits on these strategies -- i.e. whether we could all get smarter by evolving to have bigger brains (more neurons), using more energy (more active neurons), having more cleverly organized circuits, or even attaching plug-in external modules that could help the brain to do difficult things like multiplication." from the description How Smart Can You Get?: Your Brain and the Limits of Intelligence

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